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| import gradio as gr | |
| from transformers import pipeline | |
| # Load translation pipeline | |
| translator = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-en-es") | |
| def translate_text(text): | |
| result = translator(text, max_length=400) | |
| return result[0]["translation_text"] | |
| # Gradio interface | |
| iface = gr.Interface( | |
| fn=translate_text, | |
| inputs="text", | |
| outputs="text", | |
| title="English to Spanish Translator", | |
| description="Translate English sentences into Spanish using a pre-trained NLP model." | |
| ) | |
| iface.launch() | |